GxAniket/machine-learning
💡 Machine Learning labs and projects completed as part of the IBM course. Includes classification, regression, clustering, and model evaluation techniques using Python.
This collection of projects and labs helps aspiring data scientists and analysts learn to build machine learning models. It covers fundamental techniques like predicting house prices, detecting credit card fraud, and segmenting customers. You'll work with various datasets, applying different algorithms, and learn to evaluate your models.
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Use this if you are an aspiring data scientist or analyst looking for practical examples and code to understand core machine learning algorithms from an IBM Coursera course.
Not ideal if you're looking for a plug-and-play solution for an existing business problem or advanced deep learning applications.
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Jupyter Notebook
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MIT
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Last pushed
Aug 29, 2025
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